| hybrid Lead Data Engineer No H1B at Remote, Remote, USA |
| Email: [email protected] |
| If candidate has already worked with Cardinal health, there will be no interview, just a discussion call and offer. Lead Data Engineer- Someone who has worked at CH prior will get the job Visa No H1B Must have LinkedIn , SSN and DL Location Columbus OH- Locals preferred- remote If candidate has already worked with Cardinal health, there will be no interview, just a discussion call and offer. Reaching out to check if you have any experienced Lead Data Engineer (preferably with Cardinal/EDNA BigQuery) experience available immediately for an onshore role on CHIME program. I have an urgent need for a Data Engineer who can lead Design and Development of BigQuery/AtScale/Tableau deliverables working with business and other junior data engineers on the team. I will be opening a Wand request for the same but wanted to send this over in advance. Please see the below JD. Responsibilities: Lead Design/Development of solution per business requirements Provide recommendation and direction on best approach to take to ensure business functional and non-functional requirements (Data freshness SLAs, Response time Performance SLA etc) Define tasks for junior data engineers per product plan and ensure timely completion of task by providing support and removing blockers. Work closely with Product Owner on providing ETAs for future deliverables Develop BQ views per business requirements and best practices. Perform data mapping with source systems. Ensure on time delivery of project work solve technical issues and provide quick resolution. Should have advanced SQL programming experience with GCP BQ. Hands on skills with GCP, Bigquery, Airflow, needed. Ensure quality by conducting code review, providing direction to other data engineers Participate in technical platform strategy as tools, products, and business needs evolve Define and execute database and data movement standards, design reviews, pipeline CI/CD process, and data container policies to ensure high quality data management Interact with multiple organizations to track project progress, identify risks, communicate risks and status to leadership, and to assess potential impacts to the business. Ensure platforms and tools meet or exceed data security standards, including internal and external audits performed Use strong verbal and written communication skills that non-technical business and end- users can understand. Qualifications Required: 8+ years experience with data platforms including GCP BigQuery, AtScale, My SQL and Airflow Experience working in large scale data warehouse projects required. Expert working knowledge of SQL, Python, Strong PL/SQL development experience required. Purchasing/Procurement/Inventory domain knowledge would be plus. Understanding of dimensional data modelling Demonstrated expertise of database design and modeling. Expert knowledge of BI Reporting and Data Discovery tools Expert knowledge of Cloud technologies Experience in Supply Chain Inventory Management will be a plus -- Keywords: continuous integration continuous deployment business intelligence information technology procedural language Ohio |
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| Tue Feb 13 19:58:00 UTC 2024 |